AI Agent Release Gates
How to create AI agent release gates with evals, red-team cases, tool permissions, approval checks, cost budgets, observability, and rollback.
May 212 min read
Field guides for agent workflows, MCP tooling, evals, production handoffs, and the architecture behind software that actually ships.
How to create AI agent release gates with evals, red-team cases, tool permissions, approval checks, cost budgets, observability, and rollback.
A step-by-step guide to designing an AI agent workflow: trigger, outcome, agents, tools, Skills, MCP, memory, approvals, evals, and production architecture.
The AI agent eval metrics worth tracking before production: task success, unsafe action rate, tool accuracy, source coverage, latency, cost, and human correction rate.
How to design evals and harnesses for AI agents before production: replay tests, policy checks, red-team cases, approval tests, and release gates.